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Position Responsibilities
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Senior Data Scientist to build efficient, data driven systems for a Regional Laboratory team in the Healthcare domain. This multi-year engagement will be hybrid, working onsite three to four days a week in Berkeley, California.
The ideal candidate will have a strong background in statistics and in designing, developing and deploying machine learning models. This role will focus on developing innovative
solutions in healthcare domain.
Scope of Responsibilities:
- Collaborate with cross-functional teams, data scientist and SMEs to understand the domain specific data, select appropriate &
diverse data set, perform feature selection and feature engineering.
- Design, develop and implement machine learning algorithms and deep learning application and systems.
- Study and transform business problems into machine learning algorithm and application.
- Run machine learning experiments, train and monitor machine learning models to identify data drifts, irregularities/anomalies and
document findings and results.
- Analyze, improve and maintain existing AI/ML models and solutions.
- Build and maintain robust and optimized data pipelines.
- Establish performance metrics including accuracy, precision, recall, F1, ROC, AUC to understand model effectiveness.
- Explore potential applications of GenAI, RAG, Computer Vision, Time Series and other AI/ML solutions in healthcare domain.
- Stay up-to-date with latest advancements in AI/ML industry and incorporate new knowledge and techniques into ongoing projects
Skills:
- Strong problem-solving skills and ability to work independently in fast-paced dynamic environment.
- 3 to 7 years of strong industry experience in building and deploying machine learning models in Windows/Linux production environment using Python, PyTorch, TensorFlow.
- Expert in Deep Learning, Natural Language Understanding and
- Processing (NLU/NLP).
- Strong knowledge of Computer vision, LLM and Generative AI, data visualization tools and building data pipelines.
- Working knowledge of SQL and data analysis tools.
- Experience in building RAG (Retrieval Augmented Generation) solutions and Time service forecasting.
- Working knowledge of Azure/AWS/Google cloud AI and machine learning products and services.
- Excellent communication skills and ability to articulate complex concepts to non-technical stakeholders.
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